bootest                package:ipred                R Documentation

_B_o_o_t_s_t_r_a_p _E_r_r_o_r _R_a_t_e _E_s_t_i_m_a_t_o_r_s

_D_e_s_c_r_i_p_t_i_o_n:

     Those functions are low-level functions used by 'errorest' and are
     normally not called by users.

_U_s_a_g_e:

     ## S3 method for class 'factor':
     bootest(y, formula, data, model, predict, nboot=25,
     bc632plus=FALSE, list.tindx = NULL, predictions = FALSE, 
     both.boot = FALSE, ...)

_A_r_g_u_m_e_n_t_s:

       y: the response variable, either of class 'factor'
          (classification), 'numeric' (regression) or 'Surv'
          (survival).

 formula: a formula object.

    data: data frame of predictors and response described in 'formula'.

   model: a function implementing the predictive model to be evaluated.
          The function 'model' can either return an object representing
          a fitted model or a function with argument 'newdata' which
          returns predicted values. In this case, the 'predict'
          argument to 'errorest' is ignored.

 predict: a function with arguments 'object' and 'newdata' only which
          predicts the status of the observations in 'newdata' based on
          the fitted model in 'object'.

   nboot: number of bootstrap replications to be used.

bc632plus: logical. Should the bias corrected version of
          misclassification error be computed?

predictions: logical, return a matrix of predictions. The ith column
          contains predictions of the ith out-of-bootstrap sample and
          'NA's corresponding to the ith bootstrap sample.

list.tindx: list of numeric vectors, indicating which observations are
          included in each bootstrap sample.

both.boot: logical, return both (bootstrap and 632plus) estimations or
          only one of them.

     ...: additional arguments to 'model'.

_D_e_t_a_i_l_s:

     See 'errorest'.

_A_u_t_h_o_r(_s):

     Torsten.Hothorn <Torsten.Hothorn@rzmail.uni-erlangen.de>

